The rapid increase in advanced artificial intelligence (AI) systems and applications in healthcare has occurred seemingly overnight. Clinicians, operational staff, and provider leadership may not be aware that they are utilizing an AI system, may not know what questions to ask, nor know what policies, procedures, processes, and professional training should be in place to ensure that such systems drive improved health outcomes and equity, reduce the burden on their teams, and increase overall sustainability.
This is an introductory guide to support these efforts.
AI systems can be applied to clinical care, operations, and research and may involve different AI systems and methods. As a result, the risk profile of the system may be varied. The governance should be built to account for use across the varied operations of a health care provider and the questions asked of vendors/developers will also vary as a result.
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